I am an ML researcher at Google working on applications of vision, audio, and language technologies to problems motivated in healthcare and sciences. Prior to this, I was a PhD student at UT Austin working on natural language processing, and computer vision. I was a member of the Machine Learning Group, and was advised by Prof. Ray Mooney.
During my PhD I was also fortunate to work with Prof. Trevor Darrell's group at UC Berkeley and with Prof. Kate Saenko at Boston University. I spent several summers working on deep learning projects at Google Research (host: Varun Gulshan) and Google Brain (host: Andrea Frome). Prior to joining UT, I spent a year at IBM Research, India (Blue scholar).
In 2011, I obtained a Masters degree in Computer Science and Engineering from IIT, Madras. My thesis was advised by Prof. C. Pandu Rangan. In 2009, I graduated with a bachelor's degree in Information Technology from NITK, Surathkal.
I work on machine learning applications motivated in healthcare and sciences. I am a key contributor to a number of works featuring in the Healed through A.I. documentary. Some of my work pertains to improving speech recognition systems for users with impaired speech, others to transfer learning for bio/medical data (e.g. detecting diabetic retinopathy, breast cancer), and I have also developed methods to interpret such vision/audio models (model explanation) for medical applications. During my graduate studies, I applied natural language processing and computer vision techniques to generate descriptions of events depicted in videos and images. Please refer to my Google Scholar page for an up-to-date list of my publications.
In the past I have researched on topics in public policy, theoretical cryptography and social network analysis.